OLPDHS算法在雷达组网优化部署中的应用

摘要

为解决优化部署问题,首先与其他元启发式算法相比,分析了和声搜索算法的特色,并推导出参数的理论关系;然后,将相对立学习概念引入 HS算法,结合参数调整关系,提出了相对立学习参数调整和声搜索算法,并通过仿真实验与其他 HS算法在收敛速度和精度两方面进行了比较;最后,以空域体积建立目标函数作为雷达组网优化部署的数学模型,利用该算法进行寻优部署,结果表明:该算法可以较快地得出最优部署方案,操作性强.%To optimize radar network,firstly a mathematical model about the volume of airspace is built.Secondly,due to the dimension of the problem,monkey algorithm is proposed to solve the model.Thirdly,some mathematical analysis is conducted and some improved measures are introduced to harmony search algorithm.Finally,the performances of improved harmony search algorithm are well proved by simulation experiment and are applied into optimal deployments for radar network. The simulation results show that deployment schemes of radar network can be obtained much more quickly by this algorithm and it has very strong operability.